Continente Supermarket Locations Dataset – Portugal
Continente Supermarket Locations Dataset – Portugal
Continente is the leading retail brand in Portugal, owned by Sonae MC, and operates various formats including hypermarkets and proximity stores. It is highly recognized for its "Cartão Continente" loyalty program and its vast selection of both domestic and international brands.
There are 458 Continente Supermarkets as of 28 May 2026 in Portugal. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Continente locations, including full address details, administrative divisions, and precise WGS84 latitude/longitude coordinates - structured for GIS, retail analytics, mapping, and AI/RAG workflows.
Dataset Summary
- Dataset Coverage: 458 Continente supermarkets in Portugal
- Contents: Coordinates, addresses, postal codes, administrative divisions, contact details, and popularity scores
- File Format: Fully geocoded CSV dataset (UTF-8)
- Free Sample: Instantly accessible dataset to verify structure and data quality
- Use Cases: Suitable for GIS, retail analytics, site selection, and AI/RAG workflows
- Last Updated: 28 May 2026
Dataset Methodology:
This dataset is compiled from publicly available business listings, official company sources, and geospatial validation workflows. Automated quality checks and manual analyst reviews are applied to improve coordinate precision, address standardisation, duplicate detection, and overall analytical consistency.
It is periodically reviewed and updated to reflect known network changes, closures, relocations, and newly identified locations.
Dataset fields included in the CSV:
- GUID
- Title
- Latitude
- Longitude
- Street No
- Street
- City
- Admin_level_1
- Admin_level_2
- Civil parish (Freguesia)
- Region
- Population
- Postal Code
- Address
- Wheelchair
- Popularity Score
- Phone
- Website
- Opening hours
Data Quality Scorecard
- Geospatial Accuracy: 98%+ (Verified WGS84 Coordinates)
- Contact Details (Phone)98%
- Web Address98%
- Opening Hours98%
- Popularity Score100%
Data Preview: Sample geospatial records from the Continente dataset in Portugal
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| a2caeae... | Continente Bom Dia (Espinho) | 41.000467 | -8.639327 | 4500-268 | 1452 Rua 22, Espinho, 4500-268, Espin... |
| fc08bb2... | Continente Modelo (Mafra) | 38.953948 | -9.334284 | 2640-577 | 116 Estrada Nacional, Mafra, 2640-577... |
| 8bb4c81... | Continente Modelo (Odivelas) | 38.792150 | -9.195825 | 1685-654 | 6 Avenida Acácias, Odivelas, 1685-654... |
| 3af0bc2... | WELLS BEJA RETAIL | 38.021155 | -7.845888 | 7800-050 | , Beja, 7800-050, Beja, Portugal |
| 5780a36... | Continente Bom Dia (Albergaria-a-Velha) | 40.682379 | -8.470897 | 3850-089 | Rua Comendador Augusto Martins Pereir... |
Note: Only a subset of the full dataset fields are displayed here. Download the free sample (option above) to view all fields and verify the data structure.
Why download from Geolocet?
- Instant download - full dataset available immediately after purchase, no waiting, no manual fulfilment
- Free sample first - verify structure, fields, and coordinate precision before you commit
- Analysis-ready CSV - clean, standardised, and compatible with Excel, Python, QGIS, Power BI, and PostgreSQL out of the box
- Regularly updated - last updated 28 May 2026
✅ Data looks right? Add to cart ↑ - or download the free sample first.
Regional Distribution Breakdown
Looking at the geographic distribution, the highest concentration of Continente locations in Portugal is found in Pop - Madeira (260347 sites). This is followed by Pop - Açores (248245 sites) and Pop - Évora (160073 sites). From a market-penetration perspective, Faro has the highest brand density at 6.94 locations per 100,000 people (population: 490,000), making it the most saturated region for Continente in Portugal. By contrast, Lisboa records only 3.06 locations per 100,000 residents (population: 2,385,000), indicating a potential white-space opportunity for network expansion or competitor analysis.
Related geospatial datasets
- Administrative boundaries and full polygon dataset for Portugal: Map these Continente locations against highly precise administrative polygons for territory analysis and spatial structuring.
- Demographics dataset for Portugal: Overlay demographic indicators to deeply understand the population structures and household types surrounding these Continente locations.
- Explore demographics data insights for Portugal: Methodology, use cases, and definitions explaining how demographic metrics support your location intelligence workflows.
- Income indicators dataset for Portugal (small-area income analysis): Download an analysis-ready dataset on income distribution across small geographic units - ideal for segmentation, customer analytics, location planning, and socio-economic scoring.
- Explore a rich library of Portugal-specific datasets on our dedicated country page: detailed demographics, wealth indicators, multi-level boundaries, and a broad spectrum of retail POIs. View demographics, retail POI, and administrative boundary datasets for Portugal
Need the data in another format?
We can deliver this dataset in alternative formats upon request (GeoJSON, Shapefile, Excel, PostgreSQL import files, etc.). Contact us at contact@geolocet.com.
Who uses this data?
- Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
- Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
- B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).
- Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
- Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
- Catchment Area Analysis: Analysts mapping 15-minute drive times to understand localized customer reach and accessibility.
Frequently Asked Questions
Q: Are the datasets suitable for machine learning workflows?
A: Yes. The structured tabular format and standardized coordinates make the datasets suitable for machine learning and predictive analytics applications.
Q: How accurate are the coordinates?
A: Coordinates undergo automated validation and manual quality review processes to improve positional accuracy and analytical reliability.
Q: Does the dataset include administrative regions?
A: Yes. Administrative fields such as province, district, municipality, postal code, and city are included where available.
Q: Can I integrate this dataset into a PostgreSQL/PostGIS database?
A: Yes. The dataset structure is compatible with PostgreSQL/PostGIS and other relational spatial databases.
Q: Can this data be combined with demographics datasets?
A: Yes. Many customers combine these locations with demographics, income, mobility, and administrative boundary datasets for deeper spatial analysis.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this Continente dataset to identify underserved regions in Portugal for potential market expansion.""Create a regional ranking of Continente coverage efficiency using population-to-store ratios across Portugal.""Calculate the total population coverage for Continente in Portugal using a 10km catchment radius around each coordinate."
Disclaimer: All brand logos and trademarks displayed are the property of their respective owners and are used strictly for identification purposes. This product consists of geospatial location data only; no images, logos, or trademark rights are included in the downloadable files.